Lead Product Manager, AI/ML Technology Foundation (Remote Work Option)

As Nike accelerates and operationalizes its One Technology Roadmap; it has become apparent there is a need for a team and structure that will be responsible for building high-quality enterprise products and platforms at scale. Product Management will play an integral part of the Global Technology team as we move into a technology-led strategy for Nike, with the Domain Product Manager being an essential component of that team. This function has a deep understanding of how to bring the best of Global Tech together, including a deep understanding of how to leverage platform capabilities.

WHO ARE WE LOOKING FOR

We are hiring for the position of Lead Product Manager (PM) supporting Foundational Technology Platforms within the Enterprise Architecture & Platform as a Service domain.

Enterprise Architecture & Platform as a Service provides the Architecture, Platforms, Innovations, and Initiatives that enable our customers and the business to have the Agility, Fast Time-to-Market, and Cost Effectiveness they need to be successful through an ecosystem of composable platforms.

Enterprise Architecture & Platform as a Service team is seeking a Lead Product Manager for the following Foundational Technology Platform:

• AI/ML Technology Foundation Platform: provides technology and tools necessary to deliver end-to-end ML and GenAI throughout the data science lifecycle to enable developers to build and deploy Generative AI (GenAI) and Machine Learning (ML) Products and Pipelines.

As the Lead, AI/ML Foundational Technology Platform, Product Manager, you will lead the product management function, own product strategy, and design roadmaps for all products and technology solutions within the AIML Tech Foundation platform. You must have proven experience in leading product management in the areas of:

• Self-service and "as-a-service" technology enterprise platforms (or PaaS)

• Globally distributed systems at scale

• API driven solutions (e.g. REST/gRPC) and designing APIs for exposing ML and GenAI capabilities to applications and downstream services

• Familiarity with modern machine learning frameworks, data pipelines and cloud-native technologies

• Strong understanding of key ML concepts like feature engineering, hyperparameter tuning, and model evaluation metrics

• Experience with MLOps practices for end-to-end lifecycle management including MLflow

• Knowledge of model serving frameworks, and experience with model compression techniques (e.g. quantization, pruning) and optimization for performance on GPUs and edge devices.

• Knowledge of transformer-based architectures; experience with fine-tuning, deployment and optimization of LLMs; and generative techniques including text-to-text, text-to-image, and text-to-speech applications

• Expertise in crafting and refining prompts for generative models and fine-tuning pre-trained model on domain-specific datasets using frameworks like Hugging Face Transformers.

• Strong understanding of model evaluation metrics for GenAI, and experience with explainability tools or model interpretability libraries

• Ethical AI and Compliance experience including AI governance frameworks and regulatory considerations for deploying ML and GenAI models in production

As a Lead PM, you will focus on driving excellence in product and platform strategy and execution. You will work in close collaboration with various teams within Global Technology (e.g., Digital Technology Product, Engineering leaders) and key Functional Teams across the business (e.g., Global Operations Team, Marketplace, Product Innovation). Lead PMs will require experience designing creative, quality technical products and enabling business capabilities and objectives through technology.

Lead and manage end to end enterprise roadmap

• Lead the creation of an end to end product/platform vision and multi-year roadmap for a function in partnership with Engineering teams and the business

• Partner with all stakeholders to understand Business needs, outcomes and value and ensure roadmaps are aligned to those needs

• Ensure roadmaps account for and integrate dependencies across functional areas within Domains

• Ensuring Tech Team roadmaps account for and integrate dependencies across functional areas within Domains

• Collaborating with other PMs to address dependencies across Global Tech; provide inputs into ov